SEULKI LEE (이슬기)
Assistant Professor
Computer Science and Engineering (CSE)
Artificial Intelligence Graduate School (AIGS)
Ulsan National Institute of Science and Technology (UNIST)
Contact
Email: seulki.lee at unist.ac.kr
Embedded Artificial Intelligence (EAI) Lab, UNIST
501-1, #106 3rd Engineering Building, UNIST-gil 50, Ulsan, Korea
Announcement
Our research group, EAI Lab (Embedded Artificial Intelligence Lab), is looking for new members (MS/PhD/Intern/PostDoc) who are interested in systems and AI research in 2025. Please visit our lab homepage for more information.
About
Seulki Lee is an assistant professor at the Department of Computer Science and Engineering (CSE) and Artificial Intelligence Graduate School (AIGS) at UNIST (Ulsan National Institute of Science and Technology), where he leads EAI Lab (Embedded Artificial Intelligence Lab). He earned his Ph.D. in Computer Science at the Department of Computer Science, the University of North Carolina at Chapel Hill (UNC), advised by Dr. Shahriar Nirjon. His research aims to make resource-constrained real-time and embedded sensing systems capable of learning, adapting, and evolving, which facilitates Embedded Artificial Intelligence (Embedded AI). Prior to starting his Ph.D., he designed sensor system architecture and intelligent sensing algorithms for smartphones at Samsung Electronics. He spent two summers as a research intern at Nokia Bell Labs and Mercedes-Benz Research & Development North America, where he researched machine learning and future transportation systems.
Research Interests
Embedded Artificial Intelligence (Embedded AI)
On-device machine learning on embedded/mobile/IoT devices
Embedded Computer Vision, Embedded NLP, Embedded Reinforcement Learning
Efficient model (deep learning) inference, training, and adaptation
Collaborative and Collective Learning Systems
Pervasive- and always-learning on connected systems
Scalable and autonomous intelligence on networked systems (AIoT, AIoE, and intelligent edge)
Mobile computing and sensor data analytics
Cyber-Physical Systems
Control theory
Mobile robots and smart sensing systems
News
Nov 2024: ACCV 2024 paper is shortlisted as Best Paper Award Candidate
Sep 2024: ACCV 2024 paper accepted
May 2024: KDD 2024 paper accepted
Jan 2024: AISTATS 2024 paper accepted
Nov 2023: Invited talk at AICON Gwangju 2023, Korea
Sep 2023: NeurIPS 2023 paper accepted
Sep 2023: SenSys 2023 paper accepted
May 2023: IPSN 2023 paper (MicroDeblur) got Best Paper Runner Up Award
Apr 2023: IEEE Internet of Things Journal paper accepted
Feb 2023: IPSN 2023 paper accepted
Jan 2023: Invited talk (Tutorial) at ICOIN 2023, Thailand
Jun 2022: Invited talk at KCC 2022, Korea
Feb 2022: Invited talk at KIISE Computer System Society 2022, Korea
Dec 2021: PerCom 2022 paper accepted
Aug 2021: Invited talk at ETRI, Korea
Jun 2021: Invited talk at ETRI, Korea
May 2021: Doctoral degree (Ph.D.) in Computer Science awarded
Jan 2021: IPSN 2021 paper accepted
Nov 2020: Invited talk at UNIST, Korea
Nov 2020: Invited talk at DGIST, Korea
Oct 2020: AIChallengeIoT 2020 paper accepted (Best Paper Award)
Oct 2020: Invited talk at GIST, Korea
Aug 2020: Invited talk at Yonsei University, Korea
Jun 2020: Invited talk at Stony Brook University
Mar 2020: MobiSys 2020 paper accepted
Dec 2019: RTAS 2020 paper accepted
Nov 2019: Served as a program committee for SenSys 2019 poster/demo
Oct 2019: IMWUT 2019 (UbiComp 2020/ISWC 2020) paper accepted (Best Presentation Award)
Sep 2019: NSF student travel grant (SenSys 2019)
Jul 2019: SenSys 2019 paper accepted
Mar 2019: RTAS 2019 work in progress paper accepted
Feb 2019: IPSN 2019 poster accepted
Dec 2018: Masters of Computer Science degree awarded
Jun 2018: Summer internship at Nokia Bell Labs
Mar 2018: DCOSS 2018 paper accepted
Jun 2017: Summer internship at Mercedes-Benz Research & Development North America
Experience
Assistant Professor: UNIST (Ulsan National Institute of Science and Technology), Ulsan, Korea, 2021 - Present
Research Assistant: University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 2016 - 2021
Embedded artificial intelligence, Mobile computing, Machine learning, and Real-time systems
Research Intern: Nokia Bell Labs, Murray Hill, New Jersey, 2018
Mathematics and Algorithm group
Research Intern: Mercedes-Benz Research & Development North America, Sunnyvale, California, 2017
Future Transportation Systems
Senior Software Engineer: Samsung Electronics, Suwon, Korea, 2009 - 2016
Sensor R&D Group: SensorHub platform and algorithm for mobile devices (Galaxy S smartphones)
Education
Ph.D.: Computer Science, University of North Carolina at Chapel Hill, 2021 [hooding graphic]
M.S.: Computer Science, University of North Carolina at Chapel Hill, 2018
B.E.: Electrical and Computer Engineering, University of Seoul, Korea, 2009
Publication
2025
(Submitted) [MLSys 2025] “Anonymized”
The Eighth Annual Conference on Machine Learning and Systems, Santa Clara, California, USA, May 2025.
Isu Jeong and Seulki Lee
(Submitted) [AISTATS 2025] “Anonymized”
The 28th International Conference on Artificial Intelligence and Statistics, Phuket, Thailand, May 2025.
Jeongmin Cheon and Seulki Lee
(Submitted) [ICLR 2025] “Anonymized”
The Thirteenth International Conference on Learning Representations, Singapore, April 2025.
Yunseok Lee and Seulki Lee
(Submitted) [ICLR 2025] “Anonymized”
The Thirteenth International Conference on Learning Representations, Singapore, April 2025.
Jaeho Kim, Kwangryeol Park, Sukmin Yun, and Seulki Lee
(Submitted) [PerCom 2025] “Anonymized”
The 23th International Conference on Pervasive Computing and Communications, Washington DC, USA, March 2025.
Insung Jung and Seulki Lee
(Submitted) [AAAI 2024] “Anonymized ”
In the 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USA, Feb 2025.
Kwangryeol Park and Seulki Lee
2024
[ACCV 2024] “Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks”
In the 17th Asian Conference on Computer Vision, Hanoi, Vietnam, Dec 2024. [pdf]
Jae Wook Lee, Yoel Park, and Seulki Lee *[Oral presentation(5.6%)]
Best Paper Award Candidate
[KDD 2024] “CAFO: Feature-Centric Explanation on Time Series Classification”
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, and Seulki Lee *[Oral presentation]
Best Poster Award (2024 UNIST AI Technology Open Workshop)
[AISTATS 2024] “On-Demand Federated Learning for Arbitrary Target Class Distributions”
Isu Jeong and Seulki Lee
2023
[NeurIPS 2023] “Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks”
In the Thirty-Seventh Annual Conference on Neural Information Processing Systems, New Orleans, LA, USA, Dec 2023. [pdf][slides][code][talk(video)][poster]
Changhyeon Lee and Seulki Lee
[SenSys 2023] “On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems”
In the 21th ACM Conference on Embedded Networked Sensor Systems, Istanbul, Turkiye, Nov 2023. [pdf][slides][code][talk(video)]
Bosung Kim and Seulki Lee
[IPSN 2023] "MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems"
[IEEE Internet of Things 2023] "Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation using Commercial Smart Insoles"
IEEE Internet of Things, Apr 2023. [pdf]
Jaeho Kim, Hyewon Kang, Jaewan Yang, Haneul Jung, Seulki Lee, and Junghye Lee
2022
[PerCom 2022] "Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning"
In the 20th International Conference on Pervasive Computing and Communications, Pisa, Italy, March 2022. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
2021
[IPSN 2021] "Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems"
In the 20th International Conference on Information Processing in Sensor Networks, Nashville, USA, May 2021. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[Ph.D. Dissertation] “Enabling Deep Intelligence on Embedded Systems”
The University of North Carolina at Chapel Hill, May 2021. [pdf]
Seulki Lee
2020
[AIChallengeIoT 2020] (Workshop) "Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation"
In the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, Virtual Event, Japan, November, 2020. [pdf][slides][talk(video)]
Seulki Lee and Shahriar Nirjon
Best Paper Award [link]
[MobiSys 2020] "Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization"
In the 18th ACM International Conference on Mobile Systems, Applications, and Services, Toronto, Canada, June 2020. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[RTAS 2020] "SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training"
In the 26th IEEE Real-Time and Embedded Technology and Applications Symposium, Sydney, Australia, April 2020. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
2019
[IMWUT 2019/UbiComp 2020] “Intermittent Learning: On-Device Machine Learning on Intermittently Powered System”
Proceedings of ACM on Interactive, Mobile, Wearable, and Ubiquitous Computing, Cancun, Mexico, September 2020. [pdf][slides][talk(video)][code]
Seulki Lee, Bashima Islam, Yubo Luo, and Shahriar Nirjon
Best Presentation Award [link]
[SenSys 2019] “Neuro.ZERO: A Zero-Energy Neural Network Accelerator for Embedded Sensing and Inference Systems”
In the 17th ACM Conference on Embedded Networked Sensor Systems, New York, USA, November 2019. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[RTAS 2019] (WIP) "Time-Aware Deep Intelligence on Batteryless Systems"
In the 25th IEEE Real-Time and Embedded Technol-ogy and Applications Symposium, Montreal, Canada, April 2019. [pdf]
Bashima Islam, Seulki Lee, and Shahriar Nirjon
[IPSN 2019] (Poster) "On-device Training From Sensor Data on Batteryless Platforms"
In the 18th International Conference on Information Processing in Sensor Networks, Montreal, Canada, April 2019. [pdf]
Bahsima Islam, Yubo Luo, Seulki Lee, and Shahriar Nirjon
2018
[DCOSS 2018] "Knowledge Transfer Between Embedded Controllers"
In the 14th International Conference on Distributed Computing in Sensor Systems, New York, USA, June 2018. [pdf][slides][demo(video)]
Seulki Lee and Shahriar Nirjon
Teaching
Advanced Machine Learning (Instructor): Fall 2024
Introduction to Algorithms (Instructor): Spring 2024, Spring 2023, Spring 2022
AI Framework Design and Implementation (Instructor): Fall 2023, Fall 2021
Principles of Programming Languages (Instructor): Fall 2022
Data Structures (Teaching Assistant), invited by Dr. David Stotts: Spring 2018
Foundation of Programming (Recitation Lecturer), invited by Dr. Ketan Mayer-Patel: Fall 2017
Mobile Computing Systems (Teaching Assistant), invited by Dr. Shahriar Nirjon: Spring 2017
Honors and Awards
Services
TPC
AAAI (Annual AAAI Conference on Artificial Intelligence): 2025, 2024, 2023
PerCom (International Conference on Pervasive Computing and Communications): 2023
ICMU (International Conference on Mobile Computing and Ubiquitous Networking): 2025, 2023
SenSys (ACM Conference on Embedded Networked Sensor Systems): 2019 (posters and demos)
Reviewer
ICLR (International Conference on Learning Representations): 2025
KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining): 2025, 2024
IJCAI (International Joint Conference on Artificial Intelligence): 2024 (Doctoral Consortium)
IEEE Transactions on Mobile Computing: 2024, 2020
IEEE Transactions on Computers: 2021
ACM Transactions on Architecture and Code Optimization: 2023
CSCW (Conference on Computer-Supported Cooperative Work and Social Computing): 2021
IMWUT (ACM Interactive, Mobile, Wearable and Ubiquitous Technologies 2021, 2022): 2022, 2021
IEEE Transactions on Emerging Topics in Computing: 2020
CHASE (IEEE/ACM Connected Health: Applications, Systems and Engineering Technologies): 2020
Invited Talks
Sep 2024: UNIST AI Technology Open Workshop 2024, Korea, "CAFO: Feature-Centric Explanation on Time Series Classification"
Nov 2023: AICON Gwangju 2023, Korea, "Image Motion Deblurring on Microcontroller-based Vision Systems"
Aug 2023: Hyundai R&D Forum 2023 (2023 현대자동차 R&D 기술포럼), Korea, "SDV (Software-Defined Vehicle) Technology Trend"
Jan 2023: ICOIN (The 37th International Conference on Information Networking) 2023, Thailand, "Enabling Deep Intelligence on Embedded Systems"
Jun 2022: KCC (Korea Computer Congress) 2022, Korea, "Learning in the Wild"
Feb 2022: KIISE Computer System Society 2022, Korea, "Enabling Deep Intelligence on Embedded Systems"
Aug 2021: ETRI (Electronics and Telecommunications Research Institute), Korea, "Enabling Deep Intelligence on Embedded Systems"
Jun 2021: ETRI (Electronics and Telecommunications Research Institute), Korea, "Intermittent Learning"
Nov 2020: UNIST (Ulsan National Institute of Science and Technology), Korea, "Towards Embedded Artificial Intelligence (EAI)"
Nov 2020: DGIST (Daegu Gyeongbuk Institute of Science and Technology), Korea, "Towards Embedded Artificial Intelligence (EAI)" and "Introduction to Deep Learning"
Oct 2020: GIST (Gwangju Institute of Science and Technology), Korea, "Towards Embedded Artificial Intelligence (EAI)" and "Introduction to Deep Learning"
Aug 2020: Yonsei University, Korea, "Towards Embedded Artificial Intelligence (EAI)"
Jun 2020: Stony Brook University, "Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization"